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Benchmark of the best AI for music analysis in 2024
Best AI for music analysis: Bridge and other solutions in 2024
In an era where technology and music intertwine more intricately than ever, AI solutions for music analysis are revolutionizing the way we understand, create, and interact with music. Today, we take an objective dive into the latest advancements in this field, comparing some of the leading music analysis AIs: Bridge.audio, Musiio, Cyanite and Aims. Through a detailed benchmark spanning various genres and songs, we aim to uncover which AI stands out in this dynamic domain.
Understanding AI Music Analysis
What is AI Music Analysis?
Counter-intuitively, AI (Artificial Intelligence) for music analysis relies on images (spectrograms) to understand, categorize, and predict a song’s musical characteristics. From genre, mood, to tempo, or key, these AI tools provide valuable insights that previously depended on human expertise.
The importance of AI Music Analysis
For creators, platforms, and listeners, AI Music Analysis offers unparalleled efficiency and depth in music categorization, recommendation, and creation, opening new pathways for exploration and innovation in the music industry.
Benchmark overview: methodology and tracks analyzed
This benchmark evaluates four leading AI solutions for music analysis across five diverse songs, chosen to represent a wide range of genres and emotions:
- “Day is Done” by Nick Drake
- “Ne Me Quitte Pas” by Yuri Buenaventura
- “Fado Português” by Amália Rodrigues
- “You Broke My Heart” by Drake
- “Dracula Theme” by Wojciech Kilar
AI tools were assessed based on their ability to accurately analyze genre, mood, key, BPM (beats per minute), tempo, and vocals, among other parameters.
Deep dive into benchmark results
Folk and emotional depth: “Day is Done” by Nick Drake
| Bridge | Musioo | Cyanite | Aims | |
|---|---|---|---|---|
| Genre | Folk | Folk | Rock, Singer / Songwriters | Bossa Nova |
| Sub Genre | - | - | Folk Rock, Psychedelic Progressive Rock, Indie / Alternative | - |
| Instruments | Acoustic Guitar, Electro-Acoustic Guitar, Piano, Strings Ensemble, Acoustic Textures | Acoustic Guitar | Acoustic Guitar, Cello | Acoustic Guitar, Piano |
| Mood | Calm, Elegant, Hoepful, Nostalgic, Dreamy | Romantic, Neutral | Chill, Romantic, Calm, Bittersweet, Reflective, Warm | Warm, Sentimental, Reflective, Melancholic, Romantic, Dreamy |
| Movement | Build Up (Layers), Gracious, Slow Motion Pictures, Whirling, Mid Tempo | - | Steady, Flowing | - |
| Key | D minor | D minor | D minor | D minor |
| BPM | 122 | 124 | 124 | 98 |
| Vocals | Male Lead, Sweet | Male Vocal | Male Vocal | Male Vocal |
The song “Day is Done” by Nick Drake allowed these differents AIs to demonstrate their capabilities in analyzing folk music. Bridge offered a nuanced understanding of the song’s acoustic richness and emotional depth, highlighting its calm and nostalgic mood. Musiio and Cyanite identified the primary genre correctly but differed in mood and instrument detection, with Musiio leaning towards a more generic acoustic profile and Cyanite emphasizing the song’s romantic and dreamy qualities. Not only did Cyanite correctly identify the key and BPM of the song, but it also provided a broader interpretation of the genre, suggesting a mix of folk and indie influences, which indicates versatility in genre identification. Aims demonstrated a more generalized approach to mood analysis.
Latin rhythms and energy: “Ne Me Quitte Pas” by Yuri Buenaventura
| Bridge | Musiio | Cyanite | Aims | |
|---|---|---|---|---|
| Genre | Latin & Brazil | Latin | Latin | Salsa |
| Sub genre | Salsa, Nuyorican | Salsa | - | Jazz |
| Instruments | Percussions, Electric Guitar, Piano, Strings Ensemble, Brass Instruments, Acoustic and Electric Textures | Percussion | Bass Guitar, Percussion, Piano, Brass Woodwinds, Strings, Bongo Conga, Bells, Trumpet | Percussion, Piano, Electric Guitar |
| Mood | Energetic, Romantic, Happy | Happy, Relaxed | Chill, Happy, Romantic, Seductive, Sexy | Passionate, Romantic |
| Mouvement | Repetitive, Running, Up Tempo | - | Bouncy, Steady, Flowing | - |
| Key | F minor | D minor | D minor | D minor |
| BPM | 85 | 87 | 174 | 87 |
| Vocals | Male Lead | Mixed | Male Vocal | Male vocal |
In “Ne Me Quitte Pas,” Bridge and Aims accurately captured the song’s Latin essence and its energetic, romantic mood. Bridge stood out for its detailed analysis of instrumental composition, identifying a broad range of textures. Musiio and Cyanite, while recognizing the Latin genre, diverged in their mood assessments and instrument recognition, with Musiio focusing on the song’s happiness and relaxed nature, and Cyanite showcasing an ability to detect a wider array of instruments but with a more segmented view of the song’s emotional palette. This highlighted the differences in how each AI interprets the complexity of musical emotions.
The haunting melodies of “Dracula Theme” by Wojciech Kilar
| Bridge | Musiio | Cyanite | Aims | |
|---|---|---|---|---|
| Genre | Classical | Classical | Classical | Film Score |
| Sub genre | Movie Score, Modern (1900-1950) | Jazz Fusion | Soundtrack | - |
| Instruments | Percussions, Piano, Strings Ensemble, Acoustic Textures, Orchestra | Brass | Brass / Woodwinds, Percussion, Strings, French Horn | Strings, Woodwinds, Percussion, Brass |
| Mood | Suspense, Hopeful, Heroic/Epic | Dramatic, Tense | Epic Dark Energetic, Serious | Dramatic, Nightmarish |
| Mouvement | Build Up (Layers), Explosion / Contrast, Gracious, Mid Tempo | - | Stomping | - |
| Key | A minor | A minor | A minor | A minor |
| BPM | 58 | 119 | 118 | 119 |
| Vocals | Instrumental | Instrumental | None | Instrumental |
For the famous “Dracula Theme,” all AI tools were challenged to analyze a piece with no vocals and a strong classical influence. Bridge accurately captured the mood of suspense and heroism, along with a precise identification of instruments typical of a movie score. Musiio and Cyanite both identified the classical genre, but with varying focuses; Musiio highlighted the dramatic tension, while Cyanite recognized the energy and seriousness of the piece. Aims, detecting the correct genre and mood, illustrated the piece’s dark and epic qualities, demonstrating its strength in analyzing film scores. It’s also interesting to look at how differently the BPM was analyzed and counted by the different AIs.
Urban beats and heartbreak: “You Broke My Heart” by Drake
| Bridge | Musiio | Cyanite | Aims | |
|---|---|---|---|---|
| Genre | Urban/Hip-Hop | Hip-Hop | Rap/Hip-Hop | Trap, HipHop |
| Sub genre | Trap, Pop Rap | Trap | - | |
| Instruments | Drums, Beat Programming, Electric Guitar, Synth, Electronic Textures, Autotune | Percussion | Synth, Percussion, Bass, Bass Guitar | Drums, Bass, Piano, Synth, Electric Guitar |
| Mood | Dancing, Energetic, Massive/Heavy | Powerful, Romantic | Energetic, Uplifting, Passionate, Confident, Serious | Emotional, Affectionate |
| Mouvement | Build up (Layers), Explosion / Contrast, Up Tempo | - | Bouncy, Groovy, Stomping | - |
| Key | F minor | D# minor | Bb minor | F minor |
| BPM | 125 | 125 | 124 | 124 |
| Vocals | Male Lead, Rapped | Male Vocal | Male Vocal | Male Vocal |
In analyzing “You Broke My Heart,” Bridge provided a comprehensive overview, identifying the urban/hip-hop genre and capturing the song’s emotional depth. Moreover, Bridge was able to detect that the vocals present in the song were rapped and autotuned! Musiio focused on the power and romantic aspects, slightly narrowing its interpretation of the song’s emotional range. Cyanite and Aims both recognized the genre and BPM accurately, with Cyanite offering a detailed mood analysis that included passion and emotional depth, and Aims highlighting the song’s energetic and uplifting nature. This showed varying degrees of sensitivity to the song’s thematic content and mood among the AIs.
Traditional sounds: “Fado Português” by Amália Rodrigues
| Bridge | Musiio | Cyanite | Aims | |
|---|---|---|---|---|
| Genre | European | Folk | Latin | World |
| Sub genre | Portugal - Fado | - | - | Traditional |
| Instruments | Acoustic Guitar, Electro Acoustic Guitar, Strings Ensemble, Acoustic and Electric Textures | Strings | Acoustic Guitar | Acoustic Guitar, Piano |
| Mood | Feminine, Calm, Ethereal, Nostalgic, Romantic | Romantic, Sad | Romantic, Sentimental, Loving, Tender and Warm | Melancholic, Romantic, Passionate, Sentimental |
| Mouvement | Build Up (Layers), Gracious, Slow Motion Pictures, Whirling, Up Tempo | - | Steady, Flowing | - |
| Key | G minor | D minor | D minor | D minor |
| BPM | 98 | 99 | 99 | 98 |
| Vocals | Female Lead | Female Vocal | Female Vocal | Female Vocal |
The traditional “Fado Português” presented an opportunity for the AI solutions to explore their capabilities in non-western music. Bridge analysis was remarkable for the precision with which it captured the song’s mood, genre and instrumentation, highlighting its romantic and nostalgic essence. Musiio and Cyanite offered contrasting mood interpretations; Musiio leaned towards a more romantic and sad mood, whereas Cyanite captured a broader emotional range, including sentimentality and warmth. Aims accurately identified the song’s key and BPM, recognizing the traditional and melancholic nature of Fado, which illustrates how adaptable it is to different musical traditions without exactly citing them.
The future of Music Analysis: insights and innovations
The evolution of Music Analysis AI
This benchmark reveals significant advancements in music analysis AI, with Bridge.audio showcasing a deep understanding across a diverse range of music. This evolution points towards more nuanced and accurate music discovery, creation, and recommendation. A lot of AI tools are being used for music, feel free to check them out!
Bridging the gap: the role of Bridge.audio
As demonstrated in the benchmark, Bridge.audio AI offers a comprehensive analysis that rivals human expertise. Its ability to discern intricate musical elements across genres and songs underscores its potential to revolutionize the music industry. See our music-tagging best practices here!
Conclusion: the symphony of AI and music
The benchmark of AIs for music analysis offers a glimpse into a future where technology enriches our musical experiences. With AI solutions such as Bridge.audio leading the charge, we stand on the brink of a new era in music, where discovery, creation, and appreciation are boundless.
As we continue to explore the capabilities of AI in music analysis, it’s clear that the harmony between AI and music is just beginning. This comparative study highlights the spirit of innovation prevalent in the industry, paving the way for a future where the convergence of music and technology enriches the mapping of extensive repertoires with increased accuracy. This development promises to bring significant added value to the analysis and classification of music, marking a new era where relevance and technicality come together to redefine our approach to vast musical libraries.
At Bridge.audio, we pride ourselves on the efficiency of our artificial intelligence (AI) in music analysis, achieving a remarkable accuracy rate of 80% in providing relevant suggestions. However, we recognize that the goal of absolute accuracy of 100% remains out of reach, illustrated by cases where specific nuances, like the unique voice of Nina Simone, can be misinterpreted. This observation underlines the crucial importance of human intervention in our process, allowing adjustments and corrections to refine and personalize the analysis.
We are also aware of the opportunity to improve and enrich our own AI technology for music analysis. This benchmark has allowed us to identify some discrepancies, particularly in terms of key and tempo, which we will continue to refine over time. By integrating new dimensions of analysis, such as assessing the notoriety of tracks and detecting the era of production, we aim to increase the accuracy and subtlety of our system. Bridge is dedicated to continuous innovation in the field of music analysis, seeking to provide ever more refined and tailored solutions to our users.
Interested in discovering analysis comparisons with other tracks? Send your request at hi@bridge.audio!
